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Statistical Process Control Engineer Jobs in Illinois

Quality Engineer (2) About the Company: An exciting new opportunity has become available with ... and statistical tools to reduce defects, scrap, and process variability in glass production.

Quality Process Engineer

Chicago Heights, IL ยท On-site

$95K - $105K/yr

... and Statistical Process Control (SPC) ยท Proficiency in MS Office (Excel, Word, PowerPoint ... flow engineering and technology, primarily serving the global steel and foundry industries. We ...

Be Seen First

Statistical Software Systems Duties: * Reporting to the Director of Quality will be the Key Quality Engineer for the company ensuring compliance with IATF 16949, Customer requirements and internal ...

Control Engineer

Chicago, IL ยท On-site

$86K - $111K/yr

Engineers in this position collaborate closely with clients, manage multiple projects, and ... Experience with PLCs, motion control, process control, robotics, machine vision, and SCADA systems

The Process Engineer is responsible for the development, optimization, and troubleshooting of all ... Proficiency in statistical process control and root cause analysis. * Proficient in Microsoft ...

Control Engineer

Chicago, IL ยท On-site

$86K - $111K/yr

Engineers in this position collaborate closely with clients, manage multiple projects, and ... Experience with PLCs, motion control, process control, robotics, machine vision, and SCADA systems

Senior Control Systems Engineer

Aurora, IL ยท On-site

$165K - $171K/yr

... Systems, statistical process control, and automation of process data collection and analysis. What You'll Do: Drive a "Safety First" culture by performing equipment, process, and behavioral ...

Senior Control Systems Engineer

Aurora, IL

$165K - $171K/yr

... Systems, statistical process control, and automation of process data collection and analysis. What You'll Do: Drive a "Safety First" culture by performing equipment, process, and behavioral ...

The process engineer is responsible for providing technical expertise throughout the manufacturing ... Statistical Process Control Software Skills * Proactive and ability to work in a Cross-Discipline ...

Manufacturing Quality Engineer

Aurora, IL ยท On-site

$73K - $95K/yr

Manufacturing Q uality Engineer Location: Aurora, IL Reports to: Quality Manager About Rensa Rensa ... Broad knowledge of theory and principles of statistics and statistical process control. * Diverse ...

Implement and oversee Statistical Process Control (SPC) to monitor process capability and improve ... About Actalent Actalent is a global leader in engineering and sciences services and talent ...

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Statistical Process Control Engineer information

What does a Statistical Process Control Engineer do?

A Statistical Process Control (SPC) Engineer is responsible for designing, implementing, and maintaining systems that monitor and control manufacturing processes using statistical methods. They analyze data to identify trends, reduce process variation, and improve product quality. SPC Engineers work closely with production teams to ensure processes remain stable, efficient, and in compliance with industry standards. Their role often involves training staff in SPC techniques and troubleshooting quality issues using data-driven approaches.

What are the key skills and qualifications needed to thrive as a Statistical Process Control Engineer, and why are they important?

To thrive as a Statistical Process Control Engineer, you need a solid background in statistics, process engineering, and quality management, often supported by a degree in engineering or a related field. Familiarity with SPC software (such as Minitab or JMP), Six Sigma methodologies, and quality system certifications like ASQ are typically required. Strong analytical thinking, attention to detail, and effective communication are crucial soft skills for interpreting data and collaborating with cross-functional teams. These skills and qualifications are vital to maintain product quality, optimize processes, and drive continuous improvement within manufacturing or production environments.

What is the difference between Statistical Process Control Engineer vs Quality Engineer?

AspectStatistical Process Control EngineerQuality Engineer
Primary FocusMonitoring and controlling manufacturing processes using statistical methodsEnsuring overall product quality through testing, inspection, and process improvements
CertificationsSix Sigma, Statistical Process Control (SPC) certificationsSix Sigma, Quality Management certifications (e.g., CQE)
Work EnvironmentManufacturing plants, process development labsQuality departments, production facilities
Industry UsageManufacturing, automotive, electronicsManufacturing, healthcare, aerospace

While both roles focus on improving product quality, the Statistical Process Control Engineer specializes in using statistical tools to monitor and control manufacturing processes, whereas the Quality Engineer oversees broader quality assurance activities, including testing and compliance. Understanding these differences helps in choosing the right career path or job search focus.

How does a Statistical Process Control Engineer typically collaborate with production and quality teams to drive process improvements?

A Statistical Process Control Engineer regularly works alongside both production and quality assurance teams to identify trends, troubleshoot issues, and implement data-driven improvements. They analyze real-time data from manufacturing processes, facilitate root cause analysis sessions, and communicate findings through reports or presentations. Collaboration often includes training team members on SPC tools and methodologies, as well as guiding them in using statistical techniques to monitor and control process variability. This cross-functional teamwork ensures that process adjustments are both technically sound and operationally practical, leading to sustained quality improvements.
What are popular job titles related to Statistical Process Control Engineer jobs in Illinois? For Statistical Process Control Engineer jobs in Illinois, the most frequently searched job titles are:
What job categories do people searching Statistical Process Control Engineer jobs in Illinois look for? The top searched job categories for Statistical Process Control Engineer jobs in Illinois are:
What cities in Illinois are hiring for Statistical Process Control Engineer jobs? Cities in Illinois with the most Statistical Process Control Engineer job openings:
Process Engineer - Plastic Injection Molding

Process Engineer - Plastic Injection Molding

NOW Hiring Heroes

Rockford, IL โ€ข On-site

$65K - $70K/yr

Other

Posted 11 days ago


Job description

Process Engineer - Plastic Injection Molding
Location: On-Site Manufacturing Facility
Employment Type: Full-Time
Compensation: $65k - $70k
Industry: Manufacturing / Plastics / Packaging

Position Overview
A growing manufacturing organization is seeking an experienced Process Engineer with plastic injection molding expertise to support high-volume production operations. This role focuses on developing, optimizing, and troubleshooting injection molding processes to ensure efficient, consistent, and high-quality manufacturing output.
The Process Engineer works closely with process technicians, tooling teams, maintenance, quality, and production leadership to improve cycle times, reduce scrap, increase uptime, and support continuous improvement initiatives.
This position also plays a key role in new product launches, equipment upgrades, and automation integration within a fast-paced manufacturing environment.

Key Responsibilities
Injection Molding Process Development
  • Develop, document, and optimize plastic injection molding processes for new and existing molds
  • Provide technical guidance to process technicians and molding operators
  • Troubleshoot molding defects, process instability, and equipment performance issues
  • Improve cycle times, scrap reduction, and process repeatability
  • Support mold trials, machine startups, and process validation
Manufacturing Process Improvement
  • Analyze production data and implement improvements to increase efficiency and OEE
  • Lead process validation activities including DOE, IQ/OQ/PQ, and capability studies
  • Identify opportunities for cost reduction and manufacturing efficiency
  • Participate in Lean Manufacturing and Six Sigma initiatives
Cross-Functional Collaboration
  • Work closely with tooling, quality, maintenance, and operations teams
  • Support preventive and predictive maintenance strategies
  • Evaluate mold performance and recommend tooling improvements
  • Assist project teams with new product introductions
Automation & Equipment Integration
  • Support integration of molding cells with robotics, vision inspection, and automated packaging systems
  • Assist with installation and commissioning of molding machines and auxiliary equipment
  • Identify automation opportunities to improve production efficiency

Required Qualifications
  • Bachelor's Degree in Plastics Engineering, Mechanical Engineering, Manufacturing Engineering, or related field (or equivalent experience)
  • 5+ years of experience in plastic injection molding manufacturing
  • Experience with high-speed injection molding processes
  • Experience developing scientific molding processes
  • Experience conducting Design of Experiments (DOE)
  • Experience troubleshooting molding processes and mold issues
  • Strong understanding of Statistical Process Control (SPC)

Preferred Qualifications
  • Experience with thin-wall packaging applications
  • Lean Manufacturing or Six Sigma certification
  • Continuous Improvement Green Belt certification
  • Training in Scientific Molding or RJG technology
  • Experience integrating robotics or automated production systems
  • Experience working in regulated manufacturing environments

Technical Skills
  • Knowledge of polypropylene, polyethylene, and other packaging resins
  • Strong understanding of OEE metrics and process improvement
  • Experience performing root cause analysis and process troubleshooting
  • Proficiency with Microsoft Office
  • Familiarity with ERP or MES manufacturing systems

Why This Role
  • Work in a modern manufacturing environment
  • Opportunity to lead process improvement initiatives
  • Exposure to high-speed production and advanced automation
  • Impact production efficiency, quality, and operational performance